Value and Decision Analysis, ISE 562

Advanced Production Planning & Scheduling, ISE 514 Spring 2012 Dr. Meshkat

Contact Info : Dr. Leila Meshkat Email: [email protected]

My Office Hours : Fridays 3:30-5:00 pm

Teaching Assistant: Yalda Khashe Email: [email protected]

Course Description:

The objective of this course is to provide the students with the appropriate mathematical modeling tools and techniques, as well as a thorough systemic understanding of the context for the design and optimization of service systems. The course will cover 1) the basic concepts and analytical methods of production planning 2) the basic concepts and analytical methods of sequencing and scheduling 3) the application of planning and scheduling techniques to real-world problems.

The class project will provide students with an opportunity to study and formulate an example production planning & scheduling problem in their application of interest, and each student will be required to prepare a short presentation (time allocated to each student depends on the number of students enrolled) for the class.

Suggestions for success:  Participate in class – ask lots of questions!  Do the homework  Read the reading assignments

Course Prerequisite: Introduction to Operations Research

Course Goals: The main goal of this class is to give the students a systems perspective to production planning and scheduling and equip them with the analytical tools to recognize, formulate, reason and solve complex production planning and scheduling problems. Throughout the class, we will emphasize the value of looking at the lifecycle of the design, development and operation of a service system and understanding how to best utilize the analytical tools in solving real world problems.

Textbooks: 1. “The fundamentals of production planning and control”, Stephen N. Chapman, Pearson Prentice Hall, 2006, ISBN 0-13-017615-X 2. “Principles of Sequencing and Scheduling”, Kenneth R. Baker and Dan Trietsch, JohnWiley and Sons, 2009, ISBN 978-0-470-39165-5

Other Material: “Sequencing and Scheduling”, by S. French, Ellis Harwood, 1982 ISBN: 0470272295

Book is out of print and is being re-written by Professor Bottlik. Author has authorized distribution of electronic handouts which will be provided to students.

Class Sessions: Students will be assigned reading assignments which they are expected to read before Class. Homework is assigned at the end of each class, and collected the next week.

Course Requirements and Grading:

Total Requirement Points Homework 30 Midterm Exam 25 Project 20 Final Exam 25 Total 100

Schedule:

Session Date Class Topic Reading Assignment Chapman, Chapters 1 and 3, 1 tbd Introduction to Production Planning & Scheduling Simon Chapter 1 Chapman, 4, Baker Chapters 1 2 tbd Production Planning, Master Production Schedule and 2 Operations scheduling, job shop model and Chapman Chapters 4, 6, 7, 3 tbd algorithms Simon Chapter 1 Baker, pgs 10-25, 225-234, 4 tbd One Machine Problems & Flow Shops additional notes 5 tbd Linear Programming, Dynamic Programming Baker, Chapter 3 Branch and Bound Methods, Mathematical Baker, Chapter 3, additional 6 tbd Programming notes Baker, Chapter 4, additional 7 tbd Heuristics notes Baker, Chapter 4, additional 8 tbd Heuristics notes 9 tbd Midterm 10 tbd Earliness and Tardiness, Parallel Machine Models Baker, Chapter 5, 9 11 tbd Stochastic Problems Baker, Chapter 6 12 tbd Batch Processing, Sequence Dependence Baker Chapter 13 13 tbd Project Scheduling/Discuss Project Baker Chapter 16 & 17 14 tbd Project Presentations 15 tbd Project Presentations 16 tbd Final Exam

Academic Integrity: “The Viterbi School of Engineering adheres to the University's policies and procedures governing academic integrity as described in SCampus. Students are expected to be aware of and to observe the academic integrity standards described in SCampus, and to expect those standards to be enforced in this course”.

Disability Accommodation "Any Student requesting academic accommodations based on a disability is required to register with Disability Services and Programs (DSP) each semester. A letter of verification for approved accommodations can be obtained from DSP. Please be sure the letter is delivered to me (or to TA) as early in the semester as possible. DSP is located in STU 301 and is open 8:30 a.m. - 5:00 p.m., Monday through Friday. The phone number for DSP is (213)740-0776”.